Gene expression profiles at different stages of collagen-induced arthritis.

The molecular basis to autoimmune arthritis is unclear. To identify candidate molecules that may be involved in the development and progression of collagen-induced arthritis (CIA), an animal model for human rheumatoid arthritis, we used microarray and real-time PCR assays to examine the gene expression profiles at the onset, peak and decline phase of CIA. Our results showed that, of the 514 immune-related genes assayed in microarrays, fifty-eight genes showed differential expression with thirty-one up-regulated and twenty-seven down-regulated in CIA joints, in comparison to normal joint tissue. By real-time PCR, expression of some chemokines/chemokine receptors, such as CCR1, CXCR4, CXCL13 and MCP1, showed significantly elevated in the inflamed joints. Quite a few genes were significantly up- or down-regulated at the peak time point, which indicates their roles in the progression of the disease. In addition, the expression levels of some genes remained significantly elevated at all stages of the disease. These gene expression profiles may help understand the pathogenesis of the disease.

Transcriptional profiling of the LPS induced NF-kappaB response in macrophages.

BACKGROUND: Exposure of macrophages to bacterial products such as lipopolysaccharide (LPS) results in activation of the NF-kappaB transcription factor, which orchestrates a gene expression programme that underpins the macrophage-dependent immune response. These changes include the induction or repression of a wide range of genes that regulate inflammation, cell proliferation, migration and cell survival. This process is tightly regulated and loss of control is associated with conditions such as septic shock, inflammatory diseases and cancer. To study this response, it is important to have in vitro model systems that reflect the behaviour of cells in vivo. In addition, it is necessary to understand the natural differences that can occur between individuals. In this report, we have investigated and compared the LPS response in macrophage derived cell lines and peripheral blood mononuclear cell (PBMC) derived macrophages. RESULTS: Gene expression profiles were determined following LPS treatment of THP-1 cells for 1 and 4 hours. LPS significantly induced or repressed 72 out of 465 genes selected as being known or putative NF-kappaB target genes, which exhibited 4 temporal patterns of expression. Results for 34 of these genes, including several genes not previously identified as LPS target genes, were validated using real time PCR. A high correlation between microarray and real time PCR data was found. Significantly, the LPS induced expression profile of THP-1 cells, as determined using real time PCR, was found to be very similar to that of human PBMC derived macrophages. Interestingly, some differences were observed in the LPS response between the two donor PBMC macrophage populations. Surprisingly, we found that the LPS response in U937 cells was dramatically different to both THP-1 and PBMC derived macrophages. CONCLUSION: This study revealed a dynamic and diverse transcriptional response to LPS in macrophages, involving both the induction and repression of gene expression in a time dependent manner. Moreover, we demonstrated that the LPS induced transcriptional response in the THP-1 cell line is very similar to primary PBMC derived macrophages. Therefore, THP-1 cells represent a good model system for studying the mechanisms of LPS and NF-kappaB dependent gene expression.

Nurr1 dependent regulation of pro-inflammatory mediators in immortalised synovial fibroblasts.

BACKGROUND: Nurr1 is an orphan member of the nuclear receptor superfamily; these orphan receptors are a group for which a ligand has yet to be identified. Nurr1 has been shown to regulate the expression of a small number of genes as a monomeric, constitutively active receptor. These Nurr1 regulated genes are primarily associated with dopamine cell maturation and survival. However, previous reports have shown an increased expression of Nurr1 in the synovium of patients with rheumatoid arthritis (RA) suggesting a pro-inflammatory role for Nurr1 in RA. In this study we investigate the potential pro-inflammatory role of Nurr1 by monitoring Nurr1 dependent gene expression in an immortalised synoviocyte cell line, K4IM. METHODS: We overexpressed the wild type and a dominant negative form of the orphan nuclear receptor Nurr1, in a model synoviocyte cell line. Using the Affymetrix HG-U133 Genechips we demonstrate the effects on the transcriptome by the receptor. Further evidence of gene expression change was demonstrated using quantitative RT-PCR and ELISA analysis. RESULTS: We show that Nurr1 regulates transcription of a small number of genes for pro-inflammatory modulators of which the most significant is interleukin-8 (IL-8). We also demonstrate increased synthesis and secretion of IL-8 further supporting a role for Nurr1 in inflammatory signalling pathways. CONCLUSION: Using microarray analysis we show that elevated levels of Nurr1 leads to increased gene expression of pro-inflammatory genes: IL-8, Amphiregulin and Kit ligand in a model cell line. This data provides further evidence for an additional role for Nurr1 in inflammation and may play a role in the pathogenesis of rheumatoid arthritis.

Identification of in vitro folding conditions for procathepsin S and cathepsin S using fractional factorial screens.

Human procathepsin S and cathepsin S were expressed as inclusion bodies in Escherichia coli. Following solubilization of the inclusion body proteins, fractional factorial protein folding screens were used to identify folding conditions for procathepsin S and cathepsin S. A primary folding screen, including eight factors each at two levels, identified pH and arginine as the main factors affecting procathepsin S folding. In a second simple screen, the yields were further improved. The in vitro folding of mature cathepsin S has never been reported previously. In this study we used a series of fractional factorial screens to identify conditions that enabled the active enzyme to be generated without the prodomain although the yields were much lower than achieved with procathepsin S. Our data show the power of fractional factorial screens to rapidly identify folding conditions even for a protein that does not easily fold into its active conformation.